GA_diagplot: Diagnostic plot for comparison of two correlation matrices.

In jkruppa/RepeatedHighDim: Global tests for expression data of high-dimensional sets of molecular features.

Description

A diagnostic plot that compares the entries of two correlation matrices using a color scale.

Usage

GA_diagplot(R, Rt, eps = 0.05, col.method = "trafficlight", color = c(0,
  8), top = "")

Arguments

R	Specified correlation matrix.
Rt	Correlation matrix of the data generated by the genetic algorithm.
eps	Permitted difference between the entries of two matrices. Must only be specified if col.method="trafficlight".
col.method	Method to use for color scaling the difference between the matrices. If method="trafficlight" only two colors are used, indicating whether the entries deviated at least by a difference of eps. If method="updown" a discrete gray scale is used.
color	Value of two color that are used if method="trafficlight"
top	Specifies the main title of the plot

Details

A diagnostic plot that compares the entries of two correlation matrices using a color scale.

Author(s)

Jochen Kruppa, Klaus Jung

Examples

R1 = diag(10)
X0 <- start_matrix(p=c(0.4, 0.2, 0.5, 0.15, 0.4, 0.35, 0.2, 0.25, 0.3, 0.4), k = 5000)
Xt <- iter_matrix(X0, R = diag(10), T = 10000, e.min = 0.00001)
GA_diagplot(R1, Rt = Xt$Rt, col.method = "trafficlight")
GA_diagplot(R1, Rt = Xt$Rt, col.method = "updown")

jkruppa/RepeatedHighDim documentation built on May 19, 2019, 12:45 p.m.